Which is a true statement about two numerical sets of data that have no association?

• The change in one variable has no effect on the second variable.

• As one variable increases, the other variable increases.

• As one variable decreases, the other variable decreases.

• As one variable increases, the other variable decreases.

Which of the following statements about scatter plots A and B is true?

• Both scatter plots show positive association.

• Scatter plot B has a stronger association than A.

• Only scatter plot A shows linear association.

• Only scatter plot B appears to have outliers.

Write an equation in slope-intercept form for the trend line shown on the scatter plot below. Include NO SPACES.

The scatter plot shows the hours driven by a family on a road trip compared to the miles they have remaining until their destination. Which is the most reasonable estimate of the miles remaining when the family has been driving for 5 hours?

• 240 miles

• 275 miles

• 225 miles

• 210 miles

Which scatter plot shows both negative and linear association?

• A

• B

• C

• D

Which variables would the scatter plot at the right be most likely to represent?

• The amount of rainfall and the height of the corn stalks

• The decades since 1950 and the average cost of gas

• The weight of a dog and the monthly cost of dog food

• The number of clubs a student joins and the student’s height

Which is true about the association seen in the data?

• The association is negative and linear.

• The association is negative and non-linear.

• The association is positive and linear.

• The association is positive and non-linear.

Tags

CCSS.8.F.A.3

Are there any outliers in the data?

• No; there are not any outliers in the data.

• Yes; (27, 478) is an outlier since it is the highest data point.

• Yes; (55, 114) is an outlier since it is the lowest data point.

• Yes; (34, 121) is an outlier since it does not fit the general trend of the data.

A scatter plot was made to show the number of homes in a town based on the year. A trend line was drawn on the graph with an equation of y = 88x + 600, where x is the number of years since 1995 and y is the total number of homes in the town. Use this information to predict the number of homes in the town in 2015.

Tags

CCSS.8.F.B.4

CCSS.HSF.LE.A.2

A scatter plot was made to show the number of homes in a town based on the year. A trend line was drawn on the graph with an equation of y = 88x + 600, where x is the number of years since 1995 and y is the total number of homes in the town. Use this information to predict the year the town had 1,128 homes.

Tags

CCSS.HSF.BF.A.2